Description

This course introduces quantitative models commonly used in public health research and practice. Emphasis is placed on understanding the logic and underlying assumptions of theses models. Students will gain knowledge and skills in properly selecting and applying these models in various practical settings. Topics include probability sample surveys, quantitative risk assessment, quasi experimental design, propensity matching, interrupted time series, epidemics of infectious diseases, Monte Carlo simulations, and predictive analytics.